Streamline visualization of diffusion tensor data based on triangle strips


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MERHOF, Dorit, Markus SONNTAG, Frank ENDERS, Christopher NIMSKY, Peter HASTREITER, Günther GREINER, 2006. Streamline visualization of diffusion tensor data based on triangle strips. In: HANDELS, Heinz, ed., Jan EHRHARDT, ed., Alexander HORSCH, ed., Hans-Peter MEINZER, ed., Thomas TOLXDORFF, ed.. Bildverarbeitung für die Medizin 2006. Berlin/Heidelberg:Springer-Verlag, pp. 271-275. ISBN 3-540-32136-5

@inproceedings{Merhof2006Strea-5723, title={Streamline visualization of diffusion tensor data based on triangle strips}, year={2006}, doi={10.1007/3-540-32137-3_55}, isbn={3-540-32136-5}, address={Berlin/Heidelberg}, publisher={Springer-Verlag}, series={Informatik aktuell}, booktitle={Bildverarbeitung für die Medizin 2006}, pages={271--275}, editor={Handels, Heinz and Ehrhardt, Jan and Horsch, Alexander and Meinzer, Hans-Peter and Tolxdorff, Thomas}, author={Merhof, Dorit and Sonntag, Markus and Enders, Frank and Nimsky, Christopher and Hastreiter, Peter and Greiner, Günther} }

<rdf:RDF xmlns:rdf="" xmlns:bibo="" xmlns:dc="" xmlns:dcterms="" xmlns:xsd="" > <rdf:Description rdf:about=""> <bibo:uri rdf:resource=""/> <dcterms:rights rdf:resource=""/> <dc:contributor>Greiner, Günther</dc:contributor> <dc:creator>Greiner, Günther</dc:creator> <dc:contributor>Merhof, Dorit</dc:contributor> <dc:rights>deposit-license</dc:rights> <dcterms:bibliographicCitation>Zuerst ersch. in: Bildverarbeitung für die Medizin 2006. Algorithmen, Systeme, Anwendungen / Heinz Handels, Jan Ehrhardt, Alexander Horsch, Hans-Peter Meinzer, Thomas Tolxdorff (eds.). Hamburg: Springer, 2006, S. 271-275</dcterms:bibliographicCitation> <dc:creator>Hastreiter, Peter</dc:creator> <dc:date rdf:datatype="">2011-03-24T15:59:36Z</dc:date> <dcterms:title>Streamline visualization of diffusion tensor data based on triangle strips</dcterms:title> <dc:creator>Merhof, Dorit</dc:creator> <dc:contributor>Enders, Frank</dc:contributor> <dcterms:issued>2006</dcterms:issued> <dcterms:available rdf:datatype="">2011-03-24T15:59:36Z</dcterms:available> <dc:format>application/pdf</dc:format> <dc:creator>Nimsky, Christopher</dc:creator> <dc:contributor>Nimsky, Christopher</dc:contributor> <dc:contributor>Sonntag, Markus</dc:contributor> <dc:contributor>Hastreiter, Peter</dc:contributor> <dc:creator>Enders, Frank</dc:creator> <dc:language>eng</dc:language> <dc:creator>Sonntag, Markus</dc:creator> <dcterms:abstract xml:lang="eng">For the visualization of diffusion tensor imaging data, different approaches have been presented such as scalar metrics, glyphs or streamlines. Thereby, streamline techniques commonly referred to as fiber tracking provide a comprehensive and intuitive representation. For this reason, they are preferably applied for preoperative planning. The visualization of streamlines is solved by rendering lines or tubes to achieve even more significant results. However, the number of streamlines for a tracking of the whole brain or very dense tract systems may be immense, making a mesh-based tube visualization inefficient. To overcome this problem, we developed an alternative visualization technique for tubes by using textured triangle strips.</dcterms:abstract> </rdf:Description> </rdf:RDF>

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